{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification Shap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean radius</th>\n",
       "      <th>mean texture</th>\n",
       "      <th>mean perimeter</th>\n",
       "      <th>mean area</th>\n",
       "      <th>mean smoothness</th>\n",
       "      <th>mean compactness</th>\n",
       "      <th>mean concavity</th>\n",
       "      <th>mean concave points</th>\n",
       "      <th>mean symmetry</th>\n",
       "      <th>mean fractal dimension</th>\n",
       "      <th>...</th>\n",
       "      <th>worst radius</th>\n",
       "      <th>worst texture</th>\n",
       "      <th>worst perimeter</th>\n",
       "      <th>worst area</th>\n",
       "      <th>worst smoothness</th>\n",
       "      <th>worst compactness</th>\n",
       "      <th>worst concavity</th>\n",
       "      <th>worst concave points</th>\n",
       "      <th>worst symmetry</th>\n",
       "      <th>worst fractal dimension</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17.99</td>\n",
       "      <td>10.38</td>\n",
       "      <td>122.80</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.11840</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>0.3001</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>0.2419</td>\n",
       "      <td>0.07871</td>\n",
       "      <td>...</td>\n",
       "      <td>25.38</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.1622</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>0.4601</td>\n",
       "      <td>0.11890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.57</td>\n",
       "      <td>17.77</td>\n",
       "      <td>132.90</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.08474</td>\n",
       "      <td>0.07864</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>0.1812</td>\n",
       "      <td>0.05667</td>\n",
       "      <td>...</td>\n",
       "      <td>24.99</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.1866</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>0.08902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19.69</td>\n",
       "      <td>21.25</td>\n",
       "      <td>130.00</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>0.10960</td>\n",
       "      <td>0.15990</td>\n",
       "      <td>0.1974</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>0.2069</td>\n",
       "      <td>0.05999</td>\n",
       "      <td>...</td>\n",
       "      <td>23.57</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.1444</td>\n",
       "      <td>0.4245</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>0.08758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.42</td>\n",
       "      <td>20.38</td>\n",
       "      <td>77.58</td>\n",
       "      <td>386.1</td>\n",
       "      <td>0.14250</td>\n",
       "      <td>0.28390</td>\n",
       "      <td>0.2414</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>0.2597</td>\n",
       "      <td>0.09744</td>\n",
       "      <td>...</td>\n",
       "      <td>14.91</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>0.8663</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>0.17300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.29</td>\n",
       "      <td>14.34</td>\n",
       "      <td>135.10</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>0.10030</td>\n",
       "      <td>0.13280</td>\n",
       "      <td>0.1980</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>0.1809</td>\n",
       "      <td>0.05883</td>\n",
       "      <td>...</td>\n",
       "      <td>22.54</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean radius  mean texture  mean perimeter  mean area  mean smoothness  \\\n",
       "0        17.99         10.38          122.80     1001.0          0.11840   \n",
       "1        20.57         17.77          132.90     1326.0          0.08474   \n",
       "2        19.69         21.25          130.00     1203.0          0.10960   \n",
       "3        11.42         20.38           77.58      386.1          0.14250   \n",
       "4        20.29         14.34          135.10     1297.0          0.10030   \n",
       "\n",
       "   mean compactness  mean concavity  mean concave points  mean symmetry  \\\n",
       "0           0.27760          0.3001              0.14710         0.2419   \n",
       "1           0.07864          0.0869              0.07017         0.1812   \n",
       "2           0.15990          0.1974              0.12790         0.2069   \n",
       "3           0.28390          0.2414              0.10520         0.2597   \n",
       "4           0.13280          0.1980              0.10430         0.1809   \n",
       "\n",
       "   mean fractal dimension  ...  worst radius  worst texture  worst perimeter  \\\n",
       "0                 0.07871  ...         25.38          17.33           184.60   \n",
       "1                 0.05667  ...         24.99          23.41           158.80   \n",
       "2                 0.05999  ...         23.57          25.53           152.50   \n",
       "3                 0.09744  ...         14.91          26.50            98.87   \n",
       "4                 0.05883  ...         22.54          16.67           152.20   \n",
       "\n",
       "   worst area  worst smoothness  worst compactness  worst concavity  \\\n",
       "0      2019.0            0.1622             0.6656           0.7119   \n",
       "1      1956.0            0.1238             0.1866           0.2416   \n",
       "2      1709.0            0.1444             0.4245           0.4504   \n",
       "3       567.7            0.2098             0.8663           0.6869   \n",
       "4      1575.0            0.1374             0.2050           0.4000   \n",
       "\n",
       "   worst concave points  worst symmetry  worst fractal dimension  \n",
       "0                0.2654          0.4601                  0.11890  \n",
       "1                0.1860          0.2750                  0.08902  \n",
       "2                0.2430          0.3613                  0.08758  \n",
       "3                0.2575          0.6638                  0.17300  \n",
       "4                0.1625          0.2364                  0.07678  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from BorutaShap import BorutaShap, load_data\n",
    "\n",
    "X, y = load_data(data_type='classification')\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:59<00:00,  1.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20 attributes confirmed important: ['mean perimeter', 'mean concavity', 'radius error', 'worst smoothness', 'mean texture', 'worst texture', 'worst perimeter', 'worst radius', 'concavity error', 'worst concavity', 'worst compactness', 'mean compactness', 'worst area', 'worst concave points', 'mean area', 'mean concave points', 'worst symmetry', 'perimeter error', 'area error', 'mean radius']\n",
      "7 attributes confirmed unimportant: ['fractal dimension error', 'mean symmetry', 'mean fractal dimension', 'smoothness error', 'symmetry error', 'texture error', 'compactness error']\n",
      "3 tentative attributes remains: ['concave points error', 'worst fractal dimension', 'mean smoothness']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(importance_measure='shap',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 tentative features are now accepted: ['concave points error']\n",
      "2 tentative features are now rejected: ['worst fractal dimension' 'mean smoothness']\n"
     ]
    }
   ],
   "source": [
    "# as 3 attributes are still undecided we have two choices either increase the n_trials or use the TentativeRoughFix()\n",
    "# method which compares the median values of the max shadow feature and the undecided features.\n",
    "Feature_Selector.TentativeRoughFix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean perimeter</th>\n",
       "      <th>mean concavity</th>\n",
       "      <th>radius error</th>\n",
       "      <th>worst smoothness</th>\n",
       "      <th>mean texture</th>\n",
       "      <th>worst texture</th>\n",
       "      <th>worst perimeter</th>\n",
       "      <th>worst radius</th>\n",
       "      <th>concavity error</th>\n",
       "      <th>worst concavity</th>\n",
       "      <th>...</th>\n",
       "      <th>mean compactness</th>\n",
       "      <th>worst area</th>\n",
       "      <th>worst concave points</th>\n",
       "      <th>mean area</th>\n",
       "      <th>mean concave points</th>\n",
       "      <th>worst symmetry</th>\n",
       "      <th>perimeter error</th>\n",
       "      <th>area error</th>\n",
       "      <th>mean radius</th>\n",
       "      <th>concave points error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>122.80</td>\n",
       "      <td>0.3001</td>\n",
       "      <td>1.0950</td>\n",
       "      <td>0.1622</td>\n",
       "      <td>10.38</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>25.38</td>\n",
       "      <td>0.05373</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>...</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>0.4601</td>\n",
       "      <td>8.589</td>\n",
       "      <td>153.40</td>\n",
       "      <td>17.99</td>\n",
       "      <td>0.01587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>132.90</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.5435</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>17.77</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>24.99</td>\n",
       "      <td>0.01860</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>...</td>\n",
       "      <td>0.07864</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>3.398</td>\n",
       "      <td>74.08</td>\n",
       "      <td>20.57</td>\n",
       "      <td>0.01340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>130.00</td>\n",
       "      <td>0.1974</td>\n",
       "      <td>0.7456</td>\n",
       "      <td>0.1444</td>\n",
       "      <td>21.25</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>23.57</td>\n",
       "      <td>0.03832</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>...</td>\n",
       "      <td>0.15990</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>4.585</td>\n",
       "      <td>94.03</td>\n",
       "      <td>19.69</td>\n",
       "      <td>0.02058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77.58</td>\n",
       "      <td>0.2414</td>\n",
       "      <td>0.4956</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>20.38</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>14.91</td>\n",
       "      <td>0.05661</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>...</td>\n",
       "      <td>0.28390</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>386.1</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>3.445</td>\n",
       "      <td>27.23</td>\n",
       "      <td>11.42</td>\n",
       "      <td>0.01867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>135.10</td>\n",
       "      <td>0.1980</td>\n",
       "      <td>0.7572</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>14.34</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>22.54</td>\n",
       "      <td>0.05688</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.13280</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>5.438</td>\n",
       "      <td>94.44</td>\n",
       "      <td>20.29</td>\n",
       "      <td>0.01885</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean perimeter  mean concavity  radius error  worst smoothness  \\\n",
       "0          122.80          0.3001        1.0950            0.1622   \n",
       "1          132.90          0.0869        0.5435            0.1238   \n",
       "2          130.00          0.1974        0.7456            0.1444   \n",
       "3           77.58          0.2414        0.4956            0.2098   \n",
       "4          135.10          0.1980        0.7572            0.1374   \n",
       "\n",
       "   mean texture  worst texture  worst perimeter  worst radius  \\\n",
       "0         10.38          17.33           184.60         25.38   \n",
       "1         17.77          23.41           158.80         24.99   \n",
       "2         21.25          25.53           152.50         23.57   \n",
       "3         20.38          26.50            98.87         14.91   \n",
       "4         14.34          16.67           152.20         22.54   \n",
       "\n",
       "   concavity error  worst concavity  ...  mean compactness  worst area  \\\n",
       "0          0.05373           0.7119  ...           0.27760      2019.0   \n",
       "1          0.01860           0.2416  ...           0.07864      1956.0   \n",
       "2          0.03832           0.4504  ...           0.15990      1709.0   \n",
       "3          0.05661           0.6869  ...           0.28390       567.7   \n",
       "4          0.05688           0.4000  ...           0.13280      1575.0   \n",
       "\n",
       "   worst concave points  mean area  mean concave points  worst symmetry  \\\n",
       "0                0.2654     1001.0              0.14710          0.4601   \n",
       "1                0.1860     1326.0              0.07017          0.2750   \n",
       "2                0.2430     1203.0              0.12790          0.3613   \n",
       "3                0.2575      386.1              0.10520          0.6638   \n",
       "4                0.1625     1297.0              0.10430          0.2364   \n",
       "\n",
       "   perimeter error  area error  mean radius  concave points error  \n",
       "0            8.589      153.40        17.99               0.01587  \n",
       "1            3.398       74.08        20.57               0.01340  \n",
       "2            4.585       94.03        19.69               0.02058  \n",
       "3            3.445       27.23        11.42               0.01867  \n",
       "4            5.438       94.44        20.29               0.01885  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Returns a subset of the original data with the selected features\n",
    "subset = Feature_Selector.Subset()\n",
    "subset.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification Shap Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:29<00:00,  3.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19 attributes confirmed important: ['mean perimeter', 'mean concavity', 'radius error', 'worst smoothness', 'mean texture', 'worst texture', 'worst perimeter', 'worst radius', 'worst concavity', 'worst compactness', 'mean compactness', 'worst area', 'worst concave points', 'mean area', 'mean concave points', 'worst symmetry', 'perimeter error', 'area error', 'mean radius']\n",
      "7 attributes confirmed unimportant: ['fractal dimension error', 'mean symmetry', 'mean fractal dimension', 'smoothness error', 'symmetry error', 'texture error', 'compactness error']\n",
      "4 tentative attributes remains: ['concave points error', 'worst fractal dimension', 'mean smoothness', 'concavity error']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(importance_measure='shap',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0, sample=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 tentative features are now accepted: ['concave points error' 'worst fractal dimension' 'mean smoothness'\n",
      " 'concavity error']\n",
      "0 tentative features are now rejected: []\n"
     ]
    }
   ],
   "source": [
    "# as 4 attributes are still undecided we have two choices either increase the n_trials or use the TentativeRoughFix()\n",
    "# method which compares the median values of the max shadow feature and the undecided features.\n",
    "Feature_Selector.TentativeRoughFix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification Gini"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:24<00:00,  4.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "23 attributes confirmed important: ['mean perimeter', 'mean concavity', 'radius error', 'worst smoothness', 'mean texture', 'worst texture', 'worst perimeter', 'worst radius', 'concavity error', 'worst concavity', 'worst compactness', 'mean compactness', 'worst fractal dimension', 'mean smoothness', 'worst area', 'worst concave points', 'mean area', 'mean concave points', 'concave points error', 'worst symmetry', 'perimeter error', 'area error', 'mean radius']\n",
      "5 attributes confirmed unimportant: ['mean symmetry', 'mean fractal dimension', 'smoothness error', 'symmetry error', 'texture error']\n",
      "2 tentative attributes remains: ['fractal dimension error', 'compactness error']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(importance_measure='gini',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 tentative features are now accepted: ['fractal dimension error' 'compactness error']\n",
      "0 tentative features are now rejected: []\n"
     ]
    }
   ],
   "source": [
    "# as 2 attributes are still undecided we have two choices either increase the n_trials or use the TentativeRoughFix()\n",
    "# method which compares the median values of the max shadow feature and the undecided features.\n",
    "Feature_Selector.TentativeRoughFix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.6 64-bit ('test2': conda)",
   "language": "python",
   "name": "python37664bittest2conda430366e329e54cb68cfb37f49729e20f"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
